| Mice {vcdExtra} | R Documentation | 
Mice Depletion Data
Description
Data from Kastenbaum and Lamphiear (1959). The table gives the number of depletions (deaths) in 657 litters of mice, classified by litter size and treatment. This data set has become a classic in the analysis of contingency tables, yet unfortunately little information on the details of the experiment has been published.
Usage
data("Mice")Format
A frequency data frame with 30 observations on the following 4 variables, representing a 5 x 2 x 3 contingency table.
- litter
- litter size, a numeric vector 
- treatment
- treatment, a factor with levels - A- B
- deaths
- number of depletions, a factor with levels - 0- 1- 2+
- Freq
- cell frequency, a numeric vector 
Source
Goodman, L. A. (1983) The analysis of dependence in cross-classifications having ordered categories, using log-linear models for frequencies and log-linear models for odds. Biometrics, 39, 149-160.
References
Kastenbaum, M. A. & Lamphiear, D. E. (1959) Calculation of chi-square to calculate the no three-factor interaction hypothesis. Biometrics, 15, 107-115.
Examples
 
data(Mice)
# make a table
ftable(mice.tab <- xtabs(Freq ~ litter + treatment + deaths, data=Mice))
#library(vcd)
vcd::mosaic(mice.tab, shade=TRUE)